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The interpretation of biological motion
Open accessAbstract
The term biological motion has been coined by Johansson (1973) to refer to the ambulatory patterns of terrestrial bipeds and quadripeds. In this paper a computational theory of the visual perception of biological motion is proposed. The specific problem addressed is how the three dimensional structure and motions of animal limbs may be computed from the two dimensional motions of their projected images. It is noted that the limbs of animals typically do not move arbitrarily during ambulation. Rather, for anatomical reasons, they typically move in single planes for extended periods of time. This simple anatomical constraint is exploited as the basis for utilizing a “planarity assumption” in the interpretation of biological motion. The analysis proposed is: (1) divide the image into groups of two or three elements each; (2) test each group for pairwise-rigid planar motion; (3) combine the results from (2). Fundamental to the analysis are two “structure from planar motion” propositions. The first states that the structure and motion of two points rigidly linked and rotating in a plane is recoverable from three orthographic projections. The second states that the structure and motion of three points forming two highed rods constrained to move in a plane is recoverable from two orthographic projections. The psychological relevance of the analysis and possible interactions with top down recognition processes are discussed.
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Cited by
Neural mechanisms for the recognition of biological movements
Giese, M. A., & Poggio, T. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1057 · Cited by 955
Motion-based recognition a survey
Cédras, C., & Shah, M. (1995) · Image and Vision Computing · doi:10.1016/0262-8856(95)93154-k · Cited by 406
(2008) · Cited by 61
Ezzat, M. A., Abd El Ghany, M. A., Almotairi, S., & Salem, M. A.-M. (2021) · Sensors · doi:10.3390/s21093222 · Cited by 39
Metadata
- Authors
- Hoffman, D. D., & Flinchbaugh, B. E.
- Venue
- Biological Cybernetics
- Published
- 1982-01
- Volume
- 42
- Issue
- 3
- Pages
- 195-204
- ISSN
- 0340-1200 (ISSN-L)
- 1432-0770
- OpenAlex
- W1570914610
- Cited by
- 242
- References
- 0
- FWCI
- 4.92
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.